Module Interpol

Calculate residuals between function evaluation and given y-values.

Parameters:

• p (list) - parameters for function evaluation
• x (array) - the x-grid evaluated by function
• y (array) - The given y-values
• func (string) - type of function f(x), can be ['power','exp','power10', 'square','linear'] for now.

  (default: 'power')

Returns: array

residuals as a function of the x-grid

Evaluate a function prescription.

Parameters:

• x (array) - The x-grid for function evaluation
• p (list) - parameters for function evaluation
• func (string) - type of function f(x), can be ['power','exp','power10', 'square','linear'] for now.

  (default: 'power')

• x_unit (string) - the unit of the x array, only relevant if func=='planck'. Units other than micron not yet available.

  (default: None)

Returns: array

f(x)

Fit a template function to input data.

Parameters:

• x_in (list/array) - The input x values
• y_in (list/array) - The input y values
• x_out (list/array) - The output x grid
• show (bool) - show the fit result

  (default: 0)

• func (string) - The function template (see pEval)

  (default: 'linear')

• initial (list(float)) - initialisation parameters for your function, number of parameters depends on type of function (see pEval)

  (default: [1,0,0.5,-1.5])

• maxfev - Maximum number of calls to the function for the leastsq method. Zero means (1+number of elements in x_in)*100

  (default: 20000)

Returns: list/array

The output y values

Linear interpolation between two points.

Parameters:

• x_in (list) - 2 x-points for interpolation
• y_in (list) - 2 y-points for interpolation corresponding to x_in
• x (float/array) - x value for interpolation

Returns: float/array

f(x), where f is linear interpolation from x_in and y_in